Triple

T21978372
Position Surface form Disambiguated ID Type / Status
Subject Ralph Jordan E542768 entity
Predicate name P16 FINISHED
Object Ralph Jordan NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ralph Jordan | Statement: [Ralph Jordan, name, Ralph Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Jordan
Context triple: [Ralph Jordan, name, Ralph Jordan]
  • A. Ralph Jordan chosen
    Ralph Jordan was a longtime Auburn University football coach and athletic figure whose legacy is commemorated in the naming of Jordan–Hare Stadium.
  • B. Ralph Hart
    Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
  • C. Ralph Burns
    Ralph Burns was an American jazz pianist, composer, and arranger renowned for his influential big band work and acclaimed film scores.
  • D. Ralph Newbery
    Ralph Newbery was the father of Argentine aviation pioneer Jorge Newbery and a member of the Newbery family associated with early aviation history in Argentina.
  • E. Ralph Furley
    Ralph Furley is the flamboyantly dressed, bumbling landlord character from the sitcom "Three's Company," known for his exaggerated reactions and comic misunderstandings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248a60708190a9aa8b9b7738c261 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.